PSYCHOL 6602OL - Applied Quantitative and Qualitative Methods
Online - Online Teaching 5 - 2022
General Course Information
Course Code PSYCHOL 6602OL Course Applied Quantitative and Qualitative Methods Coordinating Unit Psychology Term Online Teaching 5 Level Postgraduate Coursework Location/s Online Units 3 Contact Up to 2 hours per week Available for Study Abroad and Exchange N Restrictions Available to Graduate Diploma in Psychology (Advanced) (OL) students only Course Description This applied methodology course will equip you with the knowledge, skills, and abilities required for understanding and conducting data analysis in psychology. With a guided step-by-step approach, this course will explore how to use, report, and apply both quantitative and qualitative research methodologies, utilising a range of industry-relevant software packages.
Course Coordinator: Dr Josiah KriegE-mail: email@example.com
The full timetable of all activities for this course can be accessed from Course Planner.Full details of each week's activities can be found in MyUni.
Course Learning Outcomes
1 Adapt quantitative analysis and data management skills to different software packages 2 Formulate principled arguments for the use of various methods when conducting qualitative analysis 3 Formulate principled arguments for the use of various methods when conducting advanced regression and ANOVA techniques 4 Analyse quantitative data to answer advanced psychological research questions 5 Communicate the results of quantitative and qualitative analyses using APA guidelines.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1, 2, 3
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
Attribute 5: Intercultural and ethical competency
Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.
Attribute 6: Australian Aboriginal and Torres Strait Islander cultural competency
Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.
Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
Required ResourcesThis is a fully online offering. Students will require access to the internet to access course content and to engage in online tutorials. Students will need to install free, open-source, cross-platform packages for statistical analysis (JASP, https://jasp-stats.org/; R, https://cran.r-project.org/; RStudio, https://www.rstudio.com/products/rstudio/) on their computer. Required readings will be available through MyUni.
Recommended ResourcesDetailed reading lists will be provided within course modules on Myuni; all readings will be accessible online.
Online LearningThis is a fully online offering. Myuni will be used for all course materials, communication, links to curated resources, online tutorial support and assignments including submissions, feedback and grades.
Learning & Teaching Activities
Learning & Teaching ModesEngagement with course content is facilitated by online videos, interactive online activities, curated readings and resources, and self-directed study supported by weekly online 90 minute tutorial sessions.
There are 6 Weekly Modules with learning scaffolded across the modules to ensure that students develop deep discipline knowledge as well as the academic literacy, research skills and capacity to apply and communicate their understanding as specified for an AQF8 level offering.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.This course is a 6-week intensive, accelerated learning offering. Students should expect to spend around 25 hours per week on this course.
Hours per Week
Tutorials: 1.5 hours
Tutorial preparation: 1 hour
Assessment-related tasks: 8.5 hours
Engaging with online activities: 9 hours
Weekly reading/study: 5 hours
Learning Activities SummaryThe course is presented over six weeks, with one module per week:
1. Introduction to R
R BasicsImporting and Describing DataManaging Data in R
2. Statistics and Graphing in R
Statistics in RR MarkdownGraphing in R
3. Advanced Regression
Entering VariablesMediationModerationLogistic Regression
4. Advanced ANOVA
5. Applied Qualitative Methods
Defining Qualitative ResearchQualitative Interviewing and TranscriptionTextual DataThematic Analysis
6. Content Analysis and Mixed Methods
Content AnalysisMixed Methods
Specific Course RequirementsN/A
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
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- Assessment must maintain academic standards.
Assessment Task Task Type Weighting (%) Hurdle requirement Learning Outcome 1. Working with R Summative 20 No 1 2. Quantitative Data Analysis Summative 40 No 3,4,5 3A. Thematic Analysis
Assessment Related RequirementsSubmission via Turnitin. All assignments are due by 11:59pm ACST/ACDT on the Sunday at the end of the week in which they are due. A penalty of 5% per day applies for late submissions.
Extensions are granted on medical, compassionate or other special circumstances recognised under the University’s Modified Arrangements for Coursework Assessment Policy. The completed extension application form and any documentation (such as a medical or counsellor's certification) should be emailed to the course coordinator and submitted before the due date. The course coordinator will consider the request in the light of the case made and University deadlines, and may grant an extension of up to three days.
Assessment DetailAssessment 1: Working with R (20%, due end of week 2)
The purpose of this assessment is to evaluate your understanding of how to manage, analyse, and graph data in a reproducible manner using R. For this assessment, you will take the role of a research assistant who has been asked to finish tidying a dataset and perform some initial demographic analyses using R. You will be required to respond to the short-answer questions listed in the assessment brief, using the template provided.
Assessment 2: Quantitative Data Analysis (40%, due end of week 4)
The purpose of this assessment is to evaluate your understanding of how to conduct regression and ANOVA analyses in JASP to answer psychological research questions, and report the results according to APA guidelines. For this assessment, you will take the role of a researcher who has conducted a study exploring the association between adult attachment style and reaction time, performing preliminary analyses on some of the study’s key research questions. You will be required to respond to the short-answer questions listed in the assessment brief, using the template provided. These exercises will require you to select appropriate tests to address each question posed.
Assessment 3A: Thematic Analysis (30%, due end of week 6, 2250 words +/- 10%)
The purpose of this assessment is to demonstrate that you can conduct and report a common type of qualitative analysis—thematic analysis. For this assessment, you will take the role of a researcher at a not-for-profit organisation. You have been tasked with conducting a thematic analysis, and reporting your research-question justification and findings within a draft article that has been partially populated by the research team. You will be required to conduct a thematic analysis and prepare a report, using the template provided.
Assessment 3B: Quiz (10%, due end of week 6)
In this assessment, you will complete seven multiple-choice and three short-answer questions to demonstrate your understanding of content analysis and mixed methods. Questions will concern the key principles of these approaches and recent studies in which these approaches have been applied.
SubmissionFully online course - e-submission and marking
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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